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Hurricane Clusters in the Vicinity of Florida

机译:佛罗里达附近的飓风星团

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摘要

Models that predict annual U.S. hurricane activity assume a Poisson distribution for the counts. Here the authors show that this assumption applied to Florida hurricanes leads to a forecast that underpredicts both the number of years without hurricanes and the number of years with three or more hurricanes. The underdispersion in forecast counts arises from a tendency for hurricanes to arrive in groups along this part of the coastline. The authors then develop an extension to their earlier statistical model that assumes that the rate of hurricane clusters follows a Poisson distribution with cluster size capped at two hurricanes. Hindcasts from the cluster model better fit the distribution of Florida hurricanes conditional on the climate covariates including the North Atlantic Oscillation and Southern Oscillation index. Results are similar to models that parameterize the extra-Poisson variation in the observed counts, including the negative binomial and the Poisson inverse Gaussian models. The authors argue, however, that the cluster model is physically consistent with the way Florida hurricanes tend to arrive in groups.
机译:预测美国年度飓风活动的模型采用计数的泊松分布。在这里,作者表明,这种假设适用于佛罗里达飓风,导致预测结果低估了没有飓风的年数和出现三个或更多飓风的年数。预报数量不足的原因是飓风倾向于沿着海岸线的这一部分成批到达。然后,作者对先前的统计模型进行了扩展,该模型假定飓风的发生率遵循Poisson分布,且簇大小上限为两个飓风。来自聚类模型的后向预报更适合佛罗里达飓风的分布,条件是气候变量包括北大西洋涛动指数和南方涛动指数。结果类似于在观察到的计数中参数化额外泊松变化的模型,包括负二项式和泊松反高斯模型。然而,作者认为,聚类模型在物理上与佛罗里达飓风倾向于成群到达的方式一致。

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